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Found 5 papers, 3 papers with code
Choreographing the Digital Canvas: A Machine Learning Approach to Artistic Performance
The platform integrates a novel machine-learning (ML) model with an interactive interface to generate and visualize artistic movements.
A Transformer-based Prediction Method for Depth of Anesthesia During Target-controlled Infusion of Propofol and Remifentanil
Accurately predicting anesthetic effects is essential for target-controlled infusion systems.
ArcGPT: A Large Language Model Tailored for Real-world Archival Applications
Ultimately, ArcGPT aims to better serve the archival community, aiding archivists in their crucial role of preserving and harnessing our collective information and knowledge.
SoK: Vehicle Orientation Representations for Deep Rotation Estimation
In recent years, there is an influx of deep learning models for 3D vehicle object detection.
Constrained Maximum Correntropy Adaptive Filtering
Most existing constrained adaptive filtering algorithms are developed under mean square error (MSE) criterion, which is an ideal optimality criterion under Gaussian noises.
